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Related Experiment Videos

Exploring Causal Associations Between Plasma Metabolites and Sciatica: A Two-Sample Mendelian Randomization Analysis.

Shaoyong Yu1, Qiuyu Wei2, Yi Luo2

  • 1Traumatic Joint First Ward, Liuzhou Traditional Chinese Medicine Hospital, Liuzhou, Guangxi, People's Republic of China.

Journal of Pain Research
|February 19, 2026
PubMed
Summary
This summary is machine-generated.

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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This study used genetic analysis to find that certain plasma metabolites, like bilirubin, are causally linked to sciatica risk, while others, such as N-Acetyl-β-alanine, may be protective.

Area of Science:

  • Metabolomics
  • Genetics
  • Epidemiology

Background:

  • Sciatica is a common and disabling condition with both nociceptive and neuropathic pain components.
  • Identifying biomarkers for sciatica is crucial for early intervention due to its impact on quality of life and work capacity.
  • Previous metabolomics studies suggested associations between plasma metabolites and sciatica, but causal links remained unconfirmed.

Purpose of the Study:

  • To investigate the causal association between plasma metabolites and sciatica using a genetic approach.
  • To provide genetic evidence for the role of specific metabolites in sciatica pathogenesis.
  • To identify potential biomarkers for sciatica risk and protection.

Main Methods:

  • Utilized public datasets containing 1,400 plasma metabolites as exposures and sciatica as the outcome.
Keywords:
causal associationgeneticsgenome-wide association studymendelian randomizationplasma metabolitessciaticasingle nucleotide polymorphism

Related Experiment Videos

  • Performed Mendelian randomization analyses using various statistical methods (inverse-variance weighted, MR-Egger, weighted median, etc.).
  • Ensured robustness through heterogeneity testing, horizontal pleiotropy assessment, and Steiger directionality tests.

    • Main Results:

    • Identified four plasma metabolites with significant causal relationships to sciatica (PFDR < 0.05).
    • Two forms of a bilirubin degradation product (C17H20N2O5) were found to be risk factors (ORs > 1).
    • N-Acetyl-β-alanine and Glycosyl-N-stearoyl-sphingosine (d18:1/18:0) were identified as protective factors (ORs < 1).

    Conclusions:

    • Provided genetic evidence supporting a causal role for specific plasma metabolites in sciatica.
    • Highlighted the involvement of bilirubin and amino acid/sphingolipid metabolism in sciatica pathogenesis.
    • These findings offer new biological insights and may guide future therapeutic strategies for sciatica.